Zion Tech Group

Tag: Database

  • New Opportunities for Sentiment Analysis and Information Processing (Advances in Data Mining and Database Management)

    New Opportunities for Sentiment Analysis and Information Processing (Advances in Data Mining and Database Management)


    Price: $270.00
    (as of Dec 27,2024 14:11:16 UTC – Details)




    Publisher ‏ : ‎ Engineering Science Reference (June 25, 2021)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 315 pages
    ISBN-10 ‏ : ‎ 1799880613
    ISBN-13 ‏ : ‎ 978-1799880615
    Item Weight ‏ : ‎ 2.34 pounds
    Dimensions ‏ : ‎ 8.5 x 0.75 x 11 inches


    New Opportunities for Sentiment Analysis and Information Processing (Advances in Data Mining and Database Management)

    Sentiment analysis, the process of identifying and extracting opinions, emotions, and attitudes from text data, has become an essential tool for businesses to understand customer feedback, market trends, and brand reputation. With the rapid growth of social media platforms and online review sites, there is an increasing need for more advanced techniques and tools to efficiently analyze and process large volumes of unstructured text data.

    Recent advances in data mining and database management have opened up new opportunities for sentiment analysis and information processing. Machine learning algorithms, natural language processing techniques, and big data technologies are being used to develop more accurate and efficient sentiment analysis models. These models can not only classify text data into positive, negative, or neutral sentiments but also identify specific emotions, topics, and entities within the text.

    Furthermore, advancements in database management systems have enabled organizations to store, retrieve, and analyze massive amounts of text data in real-time. NoSQL databases, in-memory databases, and distributed computing frameworks are being leveraged to handle the complexities of unstructured text data and support the scalability and performance requirements of sentiment analysis applications.

    Overall, the combination of advanced data mining and database management technologies is revolutionizing the way organizations extract insights from text data. By leveraging these tools and techniques, businesses can gain a deeper understanding of customer preferences, market trends, and brand sentiment, ultimately driving better decision-making and improving overall business performance.
    #Opportunities #Sentiment #Analysis #Information #Processing #Advances #Data #Mining #Database #Management

  • Visual Database Systems 3 : Visual Information Management, Hardcover by Spacc…

    Visual Database Systems 3 : Visual Information Management, Hardcover by Spacc…



    Visual Database Systems 3 : Visual Information Management, Hardcover by Spacc…

    Price : 299.00 – 242.65

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    Visual Database Systems 3: Visual Information Management, Hardcover by Spaccia

    Are you looking to enhance your knowledge and skills in visual information management? Look no further than Visual Database Systems 3: Visual Information Management by renowned author Spaccia. This comprehensive hardcover book delves into the world of visual database systems, offering valuable insights and techniques for managing and analyzing visual data effectively.

    Whether you are a student, researcher, or professional in the field of information management, this book is a must-have resource. With detailed explanations, case studies, and practical examples, Visual Database Systems 3 will help you understand the complexities of visual information management and how to leverage visual data for decision-making and strategic planning.

    Don’t miss out on this essential guide to visual information management. Get your hands on Visual Database Systems 3: Visual Information Management in hardcover today!
    #Visual #Database #Systems #Visual #Information #Management #Hardcover #Spacc.., Data Management

  • Database Management Using AI: A Comprehensive Guide, Volume-11 (Database Management Using AI : A Comprehensive Guide (Volume : 1 to12))

    Database Management Using AI: A Comprehensive Guide, Volume-11 (Database Management Using AI : A Comprehensive Guide (Volume : 1 to12))


    Price: $45.00
    (as of Dec 27,2024 09:58:09 UTC – Details)




    ASIN ‏ : ‎ B0DL617RXJ
    Publisher ‏ : ‎ Independently published (October 28, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 101 pages
    ISBN-13 ‏ : ‎ 979-8344697932
    Reading age ‏ : ‎ 12 – 18 years
    Item Weight ‏ : ‎ 11.2 ounces
    Dimensions ‏ : ‎ 8.25 x 0.43 x 11 inches


    In this post, we will delve into the intricacies of database management using artificial intelligence, focusing on the latest advancements and best practices. This is Volume-11 of our comprehensive guide on the topic, following volumes 1 through 10.

    AI has revolutionized the way databases are managed, offering a range of benefits such as improved efficiency, enhanced security, and better decision-making capabilities. By leveraging AI technologies such as machine learning, natural language processing, and predictive analytics, organizations can optimize their database management processes and derive valuable insights from their data.

    In this volume, we will cover a range of topics, including:

    1. AI-powered data integration and transformation
    2. Automated database tuning and optimization
    3. Predictive maintenance and anomaly detection
    4. AI-driven query optimization and performance tuning
    5. Cognitive database assistants for improved user experience
    6. AI-based data governance and compliance

    By incorporating AI into their database management practices, organizations can streamline their operations, reduce costs, and stay ahead of the competition in today’s data-driven world.

    Stay tuned for Volume-12 of our comprehensive guide, where we will explore more advanced topics and cutting-edge technologies in the field of database management using AI.
    #Database #Management #Comprehensive #Guide #Volume11 #Database #Management #Comprehensive #Guide #Volume #to12

  • Introduction To Database Management by Gillenson

    Introduction To Database Management by Gillenson



    Introduction To Database Management by Gillenson

    Price : 12.50

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    Introduction To Database Management

    Database management is a crucial aspect of maintaining and organizing data in a systematic and efficient manner. In this post, we will explore the fundamentals of database management as outlined by Gillenson.

    Database management involves the design, implementation, and maintenance of databases to ensure that data is stored and retrieved accurately and securely. It encompasses various tasks such as data modeling, database programming, data manipulation, and database optimization.

    Gillenson emphasizes the importance of understanding the structure and organization of data within a database. This includes defining data elements, relationships between data entities, and constraints that govern data integrity. By establishing a well-defined data model, database management can facilitate efficient data storage and retrieval.

    Furthermore, Gillenson highlights the significance of database programming in creating and managing database applications. This involves writing code to interact with databases, perform queries, and manipulate data. Database programming is essential for developing customized solutions that meet specific business requirements.

    In addition, database management involves optimizing database performance to enhance data processing speed and efficiency. This includes indexing data, optimizing queries, and tuning database configurations to improve overall system performance.

    Overall, database management plays a vital role in ensuring the reliability, security, and accessibility of data within an organization. By following the principles outlined by Gillenson, businesses can effectively manage their databases and leverage data as a strategic asset.
    #Introduction #Database #Management #Gillenson, Network Management

  • Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners

    Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners


    Price: $13.59
    (as of Dec 27,2024 09:18:42 UTC – Details)




    Publisher ‏ : ‎ CreateSpace Independent Publishing Platform (September 26, 2018)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 100 pages
    ISBN-10 ‏ : ‎ 1727618572
    ISBN-13 ‏ : ‎ 978-1727618570
    Item Weight ‏ : ‎ 5.1 ounces
    Dimensions ‏ : ‎ 6 x 0.23 x 9 inches


    Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners

    Data science has become a crucial aspect of business operations in today’s data-driven world. From predicting customer behavior to optimizing supply chain management, businesses are increasingly relying on data science techniques to gain valuable insights and make informed decisions.

    In this post, we will delve into some key concepts of data science that are essential for beginners looking to harness the power of data for their business. These include predictive modeling, data mining, data analytics, data warehousing, data visualization, regression analysis, database querying, and machine learning.

    Predictive modeling involves using historical data to make predictions about future events. By analyzing patterns and relationships in the data, businesses can forecast customer behavior, sales trends, and market demand, among other things.

    Data mining is the process of extracting valuable insights from large datasets. By using techniques such as clustering, classification, and association analysis, businesses can uncover hidden patterns and trends that can inform strategic decision-making.

    Data analytics involves the use of statistical techniques to analyze and interpret data. By measuring and evaluating key performance indicators, businesses can identify areas of improvement and optimize their operations.

    Data warehousing is the process of storing and managing large volumes of data in a centralized repository. By organizing data in a structured manner, businesses can easily access and analyze information for reporting and decision-making purposes.

    Data visualization is the presentation of data in a visual format, such as charts, graphs, and dashboards. By visually representing data, businesses can quickly identify trends, patterns, and outliers that may not be apparent in raw data.

    Regression analysis is a statistical technique used to model the relationship between variables. By analyzing the impact of one or more independent variables on a dependent variable, businesses can make predictions and optimize their processes.

    Database querying involves retrieving and manipulating data from databases using SQL (Structured Query Language). By writing queries to extract specific information, businesses can access and analyze data to support decision-making.

    Machine learning is a branch of artificial intelligence that involves building algorithms that can learn from and make predictions based on data. By training machine learning models on historical data, businesses can automate processes, make predictions, and optimize their operations.

    In conclusion, data science is a powerful tool for businesses looking to gain a competitive edge in today’s data-driven world. By leveraging techniques such as predictive modeling, data mining, data analytics, data warehousing, data visualization, regression analysis, database querying, and machine learning, beginners can harness the power of data to make informed decisions and drive business growth.
    #Data #Science #Business #Predictive #Modeling #Data #Mining #Data #Analytics #Data #Warehousing #Data #Visualization #Regression #Analysis #Database #Querying #Machine #Learning #Beginners

  • Database and Expert Systems Applications: DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, … in Computer and Information Science, 903)

    Database and Expert Systems Applications: DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, … in Computer and Information Science, 903)


    Price: $54.99 – $47.74
    (as of Dec 27,2024 09:10:17 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2018 edition (August 7, 2018)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 325 pages
    ISBN-10 ‏ : ‎ 3319991329
    ISBN-13 ‏ : ‎ 978-3319991320
    Item Weight ‏ : ‎ 1.02 pounds
    Dimensions ‏ : ‎ 6.1 x 0.74 x 9.25 inches

    Join us at the DEXA 2018 International Workshops in Regensburg, Germany from September 3-6, 2018! This conference will focus on Database and Expert Systems Applications, featuring workshops such as BDMICS, BIOKDD, and TIR.

    Experts in the field will gather to present their latest research and findings in computer and information science. Don’t miss this opportunity to network with fellow professionals and learn about the latest advancements in the industry.

    For more information and to register, visit the DEXA 2018 website. We look forward to seeing you in Regensburg! #DEXA2018 #ComputerScience #InformationScience #RegensburgGermany
    #Database #Expert #Systems #Applications #DEXA #International #Workshops #BDMICS #BIOKDD #TIR #Regensburg #Germany #September #Computer #Information #Science

  • Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part I (Lecture Notes in Computer Science, 9827)

    Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part I (Lecture Notes in Computer Science, 9827)


    Price: $54.99
    (as of Dec 27,2024 08:38:50 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2016 edition (August 6, 2016)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 477 pages
    ISBN-10 ‏ : ‎ 3319444026
    ISBN-13 ‏ : ‎ 978-3319444024
    Item Weight ‏ : ‎ 15.87 pounds
    Dimensions ‏ : ‎ 6.1 x 1.09 x 9.25 inches


    Welcome to the 27th International Conference on Database and Expert Systems Applications, DEXA 2016! Taking place in Porto, Portugal from September 5-8, 2016, this conference brings together experts from around the world to discuss the latest advancements in database and expert systems applications.

    The proceedings of DEXA 2016 have been compiled into Part I of the Lecture Notes in Computer Science series, with the volume number 9827. This collection of papers covers a wide range of topics including data mining, knowledge discovery, information retrieval, and more.

    Attendees can expect to hear from leading researchers and practitioners in the field, as well as participate in workshops, tutorials, and panel discussions. Whether you are a seasoned professional or a newcomer to the field, DEXA 2016 offers a valuable opportunity to learn, network, and collaborate with colleagues.

    We look forward to seeing you in Porto for DEXA 2016 and hope that this conference will inspire new ideas and innovations in the world of database and expert systems applications.
    #Database #Expert #Systems #Applications #27th #International #Conference #DEXA #Porto #Portugal #September #Proceedings #Part #Lecture #Notes #Computer #Science

  • Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II … Applications, incl. Internet/Web, and HCI)

    Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II … Applications, incl. Internet/Web, and HCI)


    Price: $54.99
    (as of Dec 27,2024 08:09:16 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2016 edition (August 6, 2016)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 492 pages
    ISBN-10 ‏ : ‎ 3319444050
    ISBN-13 ‏ : ‎ 978-3319444055
    Item Weight ‏ : ‎ 16.38 pounds
    Dimensions ‏ : ‎ 6.1 x 1.12 x 9.25 inches


    Welcome to the 27th International Conference on Database and Expert Systems Applications (DEXA) 2016! This year, the conference will be held in Porto, Portugal from September 5-8, 2016.

    Part II of the conference proceedings will focus on applications, including Internet/Web, and HCI. With an emphasis on the latest research and developments in the field, DEXA 2016 promises to bring together experts from around the world to discuss cutting-edge advancements in database and expert systems applications.

    From data management to artificial intelligence, this conference covers a wide range of topics that are shaping the future of information technology. Join us in Porto to learn from leading researchers, network with industry professionals, and gain insights into the latest trends in database and expert systems applications.

    Stay tuned for updates on the conference program, keynote speakers, and special events. We look forward to seeing you in Porto for DEXA 2016!
    #Database #Expert #Systems #Applications #27th #International #Conference #DEXA #Porto #Portugal #September #Proceedings #Part #Applications #incl #InternetWeb #HCI

  • Databases Theory and Applications: 29th Australasian Database

    Databases Theory and Applications: 29th Australasian Database



    Databases Theory and Applications: 29th Australasian Database

    Price : 54.43

    Ends on : N/A

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    Conference ADT 2018

    The 29th Australasian Database Conference, ADT 2018, will be held in Auckland, New Zealand from January 22-25, 2018. This conference will bring together researchers, practitioners, and students from around the world to discuss the latest advancements in database theory and applications.

    Topics of interest for ADT 2018 include, but are not limited to:

    – Data modeling and management
    – Query processing and optimization
    – Data mining and machine learning
    – Big data analytics
    – Cloud and distributed databases
    – NoSQL databases
    – Data privacy and security
    – Social networks and graph databases

    Keynote speakers for ADT 2018 include renowned experts in the field of databases, who will share their insights and research findings with conference attendees. In addition to paper presentations, there will be tutorials, workshops, and panel discussions on various database-related topics.

    If you are a researcher, practitioner, or student working in the field of databases, ADT 2018 is an event not to be missed. Come join us in Auckland for a stimulating exchange of ideas and networking opportunities with fellow professionals in the field.

    For more information on ADT 2018, including registration details and conference schedule, visit the conference website at adt2018.org. We look forward to seeing you in Auckland in January!
    #Databases #Theory #Applications #29th #Australasian #Database

  • Database Management Using AI: A Comprehensive Guide, Volume-9 (Database Management Using AI : A Comprehensive Guide (Volume : 1 to12))

    Database Management Using AI: A Comprehensive Guide, Volume-9 (Database Management Using AI : A Comprehensive Guide (Volume : 1 to12))


    Price: $107.52
    (as of Dec 27,2024 02:37:12 UTC – Details)




    ASIN ‏ : ‎ B0DL5ZKKWG
    Publisher ‏ : ‎ Independently published (October 28, 2024)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 347 pages
    ISBN-13 ‏ : ‎ 979-8344691763
    Reading age ‏ : ‎ 12 – 18 years
    Item Weight ‏ : ‎ 2.13 pounds
    Dimensions ‏ : ‎ 8.25 x 1.01 x 11 inches


    In this ninth volume of our comprehensive guide on Database Management Using AI, we will delve deeper into how artificial intelligence is transforming the way we manage and optimize databases. From automating routine tasks to predicting future trends, AI is revolutionizing the field of database management.

    In this volume, we will explore advanced AI techniques such as machine learning, natural language processing, and neural networks, and how they can be applied to database management. We will also discuss the latest trends in AI-driven database management, such as automated query optimization, predictive analytics, and anomaly detection.

    Whether you are a seasoned database administrator looking to stay ahead of the curve or a newcomer to the field looking to learn the latest best practices, this guide is for you. Stay tuned for more insights, tips, and case studies on how AI is reshaping the way we manage databases.

    Stay tuned for the upcoming volumes in our series on Database Management Using AI: A Comprehensive Guide.
    #Database #Management #Comprehensive #Guide #Volume9 #Database #Management #Comprehensive #Guide #Volume #to12

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